{"id":"W6962081005","doi":"10.15468/dl.vza62k","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009979769,0.001931911,0.0015558,0.004616261,0.001029773,0.002647778,0.002699271,0.002145281,0.1662702],"category_scores_gemma":[0.006442353,0.0008848732,0.001277936,0.008752025,0.0004375523,0.002552956,0.002606376,0.002026048,0.2402507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535375,"about_ca_system_score_gemma":0.002346729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02042452,"about_ca_topic_score_gemma":0.03360599,"domain_scores_codex":[0.9989057,0.0001606146,0.0001347961,0.0003937327,0.0002311499,0.0001741094],"domain_scores_gemma":[0.9972241,0.0008056054,0.0002325985,0.0007450067,0.0006996351,0.0002930954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002712237,0.00001121029,0.0003702606,0.0004726205,0.00001213166,0.00001363739,0.00002012563,0.0001107013,0.00009357784,0.0003168594,0.9972042,0.001347496],"study_design_scores_gemma":[0.00007100462,0.000009467319,0.001818836,0.0002060275,0.00001309354,0.0000351872,0.0000751676,0.0001722206,0.0001771029,0.0008156725,0.9965882,0.00001784308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004459661,0.00002848247,0.00004527756,0.00004584056,0.00001465261,0.000006379636,0.9986848,0.0004401806,0.0006898275],"genre_scores_gemma":[0.0001665763,0.00003490221,0.0002069874,0.00005469659,0.000004399534,0.00004730933,0.998807,0.0001586546,0.0005196224],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8337297,"threshold_uncertainty_score":0.5562294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}